Characterisation of permanent deformation behaviour of unbound granular materials using repeated load triaxial testing

Zhalehjoo, Negin; Tolooiyan, Ali; Mackay, R.; Bodin, Didier

doi:10.1201/9781315100333-21

Cited by 2 publications

(3 citation statements)

References 15 publications

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“…Eq. 3 and Vardanega et al 2017). The next section shows the preliminary results of analysing the same database use the grading entropy framework (e.g., Lőrincz et al 2005 andSingh 2014).…”

Section: Database Analysis: Representative Pore Size Conceptmentioning

confidence: 98%

“…The database presented in Vardanega et al (2017) was further expanded by Feng (2017). The updated database now has over 1500 data points (see Feng 2017 for further details of the sources of the data in the database).…”

Section: Database Analysis: Representative Pore Size Conceptmentioning

confidence: 99%

“…Yan et al (2016) suggested that the hydraulic conductivity of the asphalt mixture can be influenced by both the air voids level and NMAS. Vardanega et al (2017) divided the database (n = 1318) into two data sets (NMAS ≤ 12.5mm and NMAS > 12.5mm) and concluded that the influence of NMAS was minimal but statistically detectable. Using the expanded database of Feng (2017) (n = 1578), three data sub-sets were established: NMAS equal or less than 9.5mm; between 9.5mm to 12.5mm and larger than 12.5mm.…”

Section: Database Analysis: Representative Pore Size Conceptmentioning

confidence: 99%

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Assessing the hydraulic conductivity of road paving materials using representative pore size and grading entropy

et al. 2018

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Pavements are ubiquitous civil engineering structures which form the important lifelines that connect communities. They must remain serviceable after events such as flooding, cyclones and extreme freeze-thaw cycles. The hydraulic conductivity of road pavements is important to understand their performance. This paper summarises some recent work aimed at improving the prediction of the hydraulic conductivity of asphalt concrete. Laboratory test results show the use of the 'hand pumping method' to measure the percentage of connected air voids in asphalt concrete specimens. The representative pore size concept is used to analyse an updated database of hydraulic conductivity measurements of asphalt concrete. The effect of nominal maximum aggregate size is studied. Preliminary efforts to use the grading entropy framework to predict the hydraulic conductivity of asphalt concrete are reported.

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“…Eq. 3 and Vardanega et al 2017). The next section shows the preliminary results of analysing the same database use the grading entropy framework (e.g., Lőrincz et al 2005 andSingh 2014).…”

Section: Database Analysis: Representative Pore Size Conceptmentioning

confidence: 98%

Section: Database Analysis: Representative Pore Size Conceptmentioning

confidence: 99%

Section: Database Analysis: Representative Pore Size Conceptmentioning

confidence: 99%

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Assessing the hydraulic conductivity of road paving materials using representative pore size and grading entropy

et al. 2018

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Comparison of Prediction Models for the Permeability of Granular Materials Using a Database

Feng

Vardanega

Ibraim

2018

Contemporary Issues in Soil Mechanics

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The hydraulic conductivity characteristics of the materials which comprise pavement structures are linked to in service performance. This paper briefly reviews a series of well-known models to predict hydraulic conductivity. An approach which makes use of the grading entropy coordinates is also studied. The database includes information on the gradation, hydraulic conductivity and porosity characteristics for over 150 gravel mixtures. Comparison of the studied models reveals that the 'Kozeny-Carman' model gives the best predictions when considering the entire database. The results of the regression analysis reveal that for granular mixtures comprising greater than 50% sand, the 'Shepherd' or 'Hazen' approaches may be preferred. However, for mixtures comprising less than with 50% sand, the 'Kozeny-Carman' and 'grading entropy' approaches are preferred.

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Characterisation of permanent deformation behaviour of unbound granular materials using repeated load triaxial testing

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Cited by 2 publications

References 15 publications

Assessing the hydraulic conductivity of road paving materials using representative pore size and grading entropy

Assessing the hydraulic conductivity of road paving materials using representative pore size and grading entropy

Comparison of Prediction Models for the Permeability of Granular Materials Using a Database

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